Jazan University Researcher Publishes New Study Findings on Liver Diseases and Conditions (Adaptive Method for Exploring Deep Learning Techniques for Subtyping and Prediction of Liver Disease).

Předmět:	LIVER diseases DEEP learning RESEARCH personnel CONVOLUTIONAL neural networks DIGESTIVE system diseases
Zdroj:	Gastroenterology Week; 2024, p484-484, 1p
Abstrakt:	A new study conducted by researchers at Jazan University in Saudi Arabia explores the use of machine learning and deep learning techniques for the diagnosis and prognosis of liver diseases. The researchers propose a novel approach called CNN+LSTM, which combines convolutional neural network (CNN) and long short-term memory (LSTM) networks. The results of the study show that the CNN+LSTM model achieves a high accuracy of 98.73% compared to other models. This research suggests that machine learning and deep learning can be effective tools for improving the diagnosis and prognosis of liver diseases. [Extracted from the article]
Databáze:	Complementary Index
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